/**
 * 个性化推荐API路由
 * 处理用户行为分析、内容标签、用户画像和推荐算法等功能
 */

import { Router, Request, Response } from 'express';
import { v4 as uuidv4 } from 'uuid';

const router = Router();

// 模拟数据存储
let userBehaviors: any[] = [];
let userProfiles: { [key: string]: any } = {};
let contentTags: { [key: string]: any[] } = {};
let recommendations: { [key: string]: any[] } = {};
let abTests: any[] = [];
let feedbacks: any[] = [];

// 模拟标签层次结构
const tagHierarchy = {
  categories: [
    {
      id: 'parenting',
      name: '育儿知识',
      tags: [
        { id: 'feeding', name: '喂养', category: 'parenting', weight: 0.9 },
        { id: 'sleep', name: '睡眠', category: 'parenting', weight: 0.8 },
        { id: 'development', name: '发育', category: 'parenting', weight: 0.85 }
      ]
    },
    {
      id: 'products',
      name: '母婴用品',
      tags: [
        { id: 'bottles', name: '奶瓶', category: 'products', weight: 0.7 },
        { id: 'diapers', name: '尿布', category: 'products', weight: 0.8 },
        { id: 'toys', name: '玩具', category: 'products', weight: 0.6 }
      ]
    },
    {
      id: 'health',
      name: '健康护理',
      tags: [
        { id: 'vaccination', name: '疫苗', category: 'health', weight: 0.9 },
        { id: 'illness', name: '疾病', category: 'health', weight: 0.8 },
        { id: 'nutrition', name: '营养', category: 'health', weight: 0.85 }
      ]
    }
  ]
};

// 模拟用户分群
const userSegments = [
  {
    id: 'new_parents',
    name: '新手父母',
    description: '刚成为父母的用户群体',
    criteria: { parenting_stage: 'newborn', experience_level: 'beginner' },
    user_count: 1250,
    characteristics: ['需要基础育儿知识', '关注安全性', '价格敏感']
  },
  {
    id: 'experienced_parents',
    name: '经验丰富的父母',
    description: '有多个孩子或育儿经验丰富的用户',
    criteria: { children_count: { $gte: 2 }, experience_level: 'experienced' },
    user_count: 890,
    characteristics: ['寻求高级育儿技巧', '品质导向', '乐于分享经验']
  },
  {
    id: 'pregnant_users',
    name: '准妈妈',
    description: '怀孕期间的用户群体',
    criteria: { parenting_stage: 'pregnant' },
    user_count: 650,
    characteristics: ['关注孕期健康', '准备婴儿用品', '学习育儿知识']
  }
];

/**
 * POST /api/recommendation/behavior/track
 * 记录用户行为
 */
router.post('/behavior/track', async (req: Request, res: Response) => {
  try {
    const behavior = {
      id: uuidv4(),
      ...req.body,
      timestamp: req.body.timestamp || new Date().toISOString()
    };
    
    userBehaviors.push(behavior);
    
    res.json({
      success: true,
      data: { behavior_id: behavior.id }
    });
  } catch (error: any) {
    console.error('记录用户行为失败:', error);
    res.status(500).json({
      success: false,
      error: '行为追踪服务暂时不可用'
    });
  }
});

/**
 * POST /api/recommendation/behavior/track-batch
 * 批量记录用户行为
 */
router.post('/behavior/track-batch', async (req: Request, res: Response) => {
  try {
    const { behaviors } = req.body;
    
    if (!Array.isArray(behaviors)) {
      return res.status(400).json({
        success: false,
        error: '行为数据必须是数组格式'
      });
    }
    
    const processedBehaviors = behaviors.map(behavior => ({
      id: uuidv4(),
      ...behavior,
      timestamp: behavior.timestamp || new Date().toISOString()
    }));
    
    userBehaviors.push(...processedBehaviors);
    
    res.json({
      success: true,
      processed: processedBehaviors.length
    });
  } catch (error: any) {
    console.error('批量记录用户行为失败:', error);
    res.status(500).json({
      success: false,
      error: '批量行为追踪服务暂时不可用'
    });
  }
});

/**
 * GET /api/recommendation/behavior/analysis/:userId
 * 获取用户行为分析
 */
router.get('/behavior/analysis/:userId', async (req: Request, res: Response) => {
  try {
    const { userId } = req.params;
    const { start, end } = req.query;
    
    // 筛选用户行为数据
    let userBehaviorData = userBehaviors.filter(b => b.user_id === userId);
    
    if (start && end) {
      userBehaviorData = userBehaviorData.filter(b => {
        const behaviorDate = new Date(b.timestamp);
        return behaviorDate >= new Date(start as string) && behaviorDate <= new Date(end as string);
      });
    }
    
    // 分析行为数据
    const totalActions = userBehaviorData.length;
    const actionBreakdown: { [key: string]: number } = {};
    const categoryCount: { [key: string]: number } = {};
    const contentTypeCount: { [key: string]: number } = {};
    const tagCount: { [key: string]: number } = {};
    
    userBehaviorData.forEach(behavior => {
      // 统计行为类型
      actionBreakdown[behavior.action_type] = (actionBreakdown[behavior.action_type] || 0) + 1;
      
      // 统计分类
      if (behavior.category) {
        categoryCount[behavior.category] = (categoryCount[behavior.category] || 0) + 1;
      }
      
      // 统计内容类型
      if (behavior.content_type) {
        contentTypeCount[behavior.content_type] = (contentTypeCount[behavior.content_type] || 0) + 1;
      }
      
      // 统计标签
      if (behavior.tags) {
        behavior.tags.forEach((tag: string) => {
          tagCount[tag] = (tagCount[tag] || 0) + 1;
        });
      }
    });
    
    // 生成分析结果
    const analysis = {
      total_actions: totalActions,
      action_breakdown: actionBreakdown,
      content_preferences: {
        categories: Object.entries(categoryCount).map(([name, count]) => ({
          name,
          count,
          percentage: Math.round((count / totalActions) * 100)
        })).sort((a, b) => b.count - a.count),
        content_types: Object.entries(contentTypeCount).map(([name, count]) => ({
          name,
          count,
          percentage: Math.round((count / totalActions) * 100)
        })).sort((a, b) => b.count - a.count),
        tags: Object.entries(tagCount).map(([name, count]) => ({
          name,
          count,
          weight: count / totalActions
        })).sort((a, b) => b.count - a.count).slice(0, 20)
      },
      engagement_patterns: {
        peak_hours: ['19:00-20:00', '21:00-22:00'], // 模拟数据
        active_days: ['周末', '工作日晚上'],
        session_duration: Math.round(Math.random() * 300 + 60), // 1-6分钟
        bounce_rate: Math.round(Math.random() * 30 + 10) // 10-40%
      },
      trends: [
        { period: '本周', actions: Math.floor(totalActions * 0.3), engagement_score: Math.round(Math.random() * 40 + 60) },
        { period: '上周', actions: Math.floor(totalActions * 0.25), engagement_score: Math.round(Math.random() * 40 + 50) },
        { period: '上上周', actions: Math.floor(totalActions * 0.2), engagement_score: Math.round(Math.random() * 40 + 45) }
      ]
    };
    
    res.json({
      success: true,
      data: analysis
    });
  } catch (error: any) {
    console.error('获取用户行为分析失败:', error);
    res.status(500).json({
      success: false,
      error: '行为分析服务暂时不可用'
    });
  }
});

/**
 * GET /api/recommendation/profile/:userId
 * 获取用户画像
 */
router.get('/profile/:userId', async (req: Request, res: Response) => {
  try {
    const { userId } = req.params;
    
    let profile = userProfiles[userId];
    
    if (!profile) {
      // 如果没有画像，生成默认画像
      profile = {
        user_id: userId,
        demographics: {
          age_range: '25-35',
          gender: 'female',
          location: '一线城市'
        },
        parenting_info: {
          parenting_stage: 'infant',
          children_count: 1,
          children_ages: [0.5],
          concerns: ['喂养问题', '睡眠问题', '发育问题']
        },
        interests: {
          categories: ['育儿知识', '母婴用品', '健康护理'],
          topics: ['新生儿护理', '母乳喂养', '婴儿用品'],
          brands: ['贝亲', '新安怡', '好奇'],
          price_sensitivity: 'medium'
        },
        behavior_patterns: {
          active_hours: ['19:00-21:00', '21:00-23:00'],
          preferred_content_types: ['article', 'video'],
          engagement_level: 'medium',
          purchase_frequency: 'occasional',
          social_activity: 'occasional'
        },
        preferences: {
          content_length: 'medium',
          content_format: ['图文', '视频'],
          notification_frequency: 'moderate',
          privacy_level: 'friends'
        },
        updated_at: new Date().toISOString()
      };
      
      userProfiles[userId] = profile;
    }
    
    res.json({
      success: true,
      data: profile
    });
  } catch (error: any) {
    console.error('获取用户画像失败:', error);
    res.status(500).json({
      success: false,
      error: '用户画像服务暂时不可用'
    });
  }
});

/**
 * PUT /api/recommendation/profile/:userId
 * 更新用户画像
 */
router.put('/profile/:userId', async (req: Request, res: Response) => {
  try {
    const { userId } = req.params;
    const profileData = req.body;
    
    const existingProfile = userProfiles[userId] || { user_id: userId };
    const updatedProfile = {
      ...existingProfile,
      ...profileData,
      updated_at: new Date().toISOString()
    };
    
    userProfiles[userId] = updatedProfile;
    
    res.json({
      success: true,
      data: updatedProfile
    });
  } catch (error: any) {
    console.error('更新用户画像失败:', error);
    res.status(500).json({
      success: false,
      error: '用户画像更新服务暂时不可用'
    });
  }
});

/**
 * POST /api/recommendation/profile/generate/:userId
 * 生成用户画像（基于行为数据）
 */
router.post('/profile/generate/:userId', async (req: Request, res: Response) => {
  try {
    const { userId } = req.params;
    
    // 获取用户行为数据
    const userBehaviorData = userBehaviors.filter(b => b.user_id === userId);
    
    // 基于行为数据生成画像
    const categoryInterests: { [key: string]: number } = {};
    const contentTypePreferences: { [key: string]: number } = {};
    const tagInterests: { [key: string]: number } = {};
    
    userBehaviorData.forEach(behavior => {
      if (behavior.category) {
        categoryInterests[behavior.category] = (categoryInterests[behavior.category] || 0) + 1;
      }
      if (behavior.content_type) {
        contentTypePreferences[behavior.content_type] = (contentTypePreferences[behavior.content_type] || 0) + 1;
      }
      if (behavior.tags) {
        behavior.tags.forEach((tag: string) => {
          tagInterests[tag] = (tagInterests[tag] || 0) + 1;
        });
      }
    });
    
    // 生成画像
    const generatedProfile = {
      user_id: userId,
      demographics: {
        age_range: '25-35', // 基于母婴用户特征
        gender: 'female',
        location: '一线城市'
      },
      parenting_info: {
        parenting_stage: 'infant',
        children_count: 1,
        children_ages: [Math.random() * 3], // 0-3岁
        concerns: Object.keys(tagInterests).slice(0, 5)
      },
      interests: {
        categories: Object.keys(categoryInterests).sort((a, b) => categoryInterests[b] - categoryInterests[a]),
        topics: Object.keys(tagInterests).sort((a, b) => tagInterests[b] - tagInterests[a]).slice(0, 10),
        brands: ['贝亲', '新安怡', '好奇'], // 默认品牌
        price_sensitivity: userBehaviorData.length > 50 ? 'low' : userBehaviorData.length > 20 ? 'medium' : 'high'
      },
      behavior_patterns: {
        active_hours: ['19:00-21:00', '21:00-23:00'],
        preferred_content_types: Object.keys(contentTypePreferences).sort((a, b) => contentTypePreferences[b] - contentTypePreferences[a]),
        engagement_level: userBehaviorData.length > 100 ? 'high' : userBehaviorData.length > 30 ? 'medium' : 'low',
        purchase_frequency: 'occasional',
        social_activity: 'occasional'
      },
      preferences: {
        content_length: 'medium',
        content_format: ['图文', '视频'],
        notification_frequency: 'moderate',
        privacy_level: 'friends'
      },
      updated_at: new Date().toISOString()
    };
    
    userProfiles[userId] = generatedProfile;
    
    res.json({
      success: true,
      data: generatedProfile
    });
  } catch (error: any) {
    console.error('生成用户画像失败:', error);
    res.status(500).json({
      success: false,
      error: '用户画像生成服务暂时不可用'
    });
  }
});

/**
 * POST /api/recommendation/personalized
 * 获取个性化推荐
 */
router.post('/personalized', async (req: Request, res: Response) => {
  try {
    const { user_id, content_types, categories, limit = 10, exclude_seen = true, diversity_factor = 0.3, freshness_factor = 0.2 } = req.body;
    
    if (!user_id) {
      return res.status(400).json({
        success: false,
        error: '用户ID是必需的'
      });
    }
    
    // 获取用户画像
    const userProfile = userProfiles[user_id];
    
    // 生成个性化推荐
    const mockRecommendations = [
      {
        content_id: 'article_001',
        content_type: 'article',
        title: '新生儿喂养指南：母乳喂养的正确方法',
        description: '详细介绍新生儿母乳喂养的技巧和注意事项，帮助新手妈妈建立正确的喂养习惯。',
        thumbnail: 'https://example.com/thumbnails/feeding_guide.jpg',
        score: 0.95,
        reason: '基于您对喂养知识的关注',
        tags: ['母乳喂养', '新生儿', '育儿知识'],
        category: '育儿知识',
        author: {
          id: 'expert_001',
          name: '李医生',
          avatar: 'https://example.com/avatars/doctor_li.jpg'
        },
        metadata: {
          duration: 300,
          difficulty: '初级',
          age_appropriate: '0-6个月'
        }
      },
      {
        content_id: 'product_001',
        content_type: 'product',
        title: '贝亲宽口径玻璃奶瓶 - 新生儿专用',
        description: '日本进口，安全材质，适合新生儿使用的高品质奶瓶。',
        thumbnail: 'https://example.com/products/pigeon_bottle.jpg',
        score: 0.88,
        reason: '根据您的品牌偏好推荐',
        tags: ['奶瓶', '贝亲', '新生儿用品'],
        category: '母婴用品',
        metadata: {
          price: 89,
          age_appropriate: '0-12个月'
        }
      },
      {
        content_id: 'video_001',
        content_type: 'video',
        title: '宝宝睡眠训练：建立健康的睡眠习惯',
        description: '专业育儿师教您如何帮助宝宝建立规律的睡眠模式。',
        thumbnail: 'https://example.com/videos/sleep_training.jpg',
        score: 0.82,
        reason: '基于您对睡眠问题的关注',
        tags: ['睡眠训练', '婴儿护理', '育儿技巧'],
        category: '育儿知识',
        author: {
          id: 'expert_002',
          name: '张老师',
          avatar: 'https://example.com/avatars/teacher_zhang.jpg'
        },
        metadata: {
          duration: 480,
          difficulty: '中级',
          age_appropriate: '3-12个月'
        }
      }
    ];
    
    // 根据用户偏好调整推荐
    let filteredRecommendations = mockRecommendations;
    
    if (content_types && content_types.length > 0) {
      filteredRecommendations = filteredRecommendations.filter(rec => 
        content_types.includes(rec.content_type)
      );
    }
    
    if (categories && categories.length > 0) {
      filteredRecommendations = filteredRecommendations.filter(rec => 
        categories.includes(rec.category)
      );
    }
    
    // 限制数量
    const limitedRecommendations = filteredRecommendations.slice(0, limit);
    
    const result = {
      recommendations: limitedRecommendations,
      total: limitedRecommendations.length,
      algorithm_version: 'v2.1.0',
      generated_at: new Date().toISOString(),
      next_refresh: new Date(Date.now() + 30 * 60 * 1000).toISOString() // 30分钟后
    };
    
    res.json({
      success: true,
      data: result
    });
  } catch (error: any) {
    console.error('获取个性化推荐失败:', error);
    res.status(500).json({
      success: false,
      error: '个性化推荐服务暂时不可用'
    });
  }
});

/**
 * GET /api/recommendation/similar/:contentId
 * 获取相似内容推荐
 */
router.get('/similar/:contentId', async (req: Request, res: Response) => {
  try {
    const { contentId } = req.params;
    const { limit = 10 } = req.query;
    
    // 模拟相似内容推荐
    const similarRecommendations = [
      {
        content_id: 'article_002',
        content_type: 'article',
        title: '母乳喂养常见问题解答',
        description: '解答新手妈妈在母乳喂养过程中遇到的常见问题。',
        score: 0.92,
        reason: '内容相似度高',
        tags: ['母乳喂养', '问题解答', '新手妈妈'],
        category: '育儿知识'
      },
      {
        content_id: 'article_003',
        content_type: 'article',
        title: '如何判断宝宝是否吃饱了',
        description: '教您识别宝宝饥饱的信号，确保宝宝获得充足的营养。',
        score: 0.87,
        reason: '主题相关',
        tags: ['喂养', '宝宝信号', '营养'],
        category: '育儿知识'
      }
    ];
    
    const similarityScores = similarRecommendations.map(rec => ({
      content_id: rec.content_id,
      score: rec.score
    }));
    
    res.json({
      success: true,
      data: {
        recommendations: similarRecommendations.slice(0, Number(limit)),
        similarity_scores: similarityScores
      }
    });
  } catch (error: any) {
    console.error('获取相似内容推荐失败:', error);
    res.status(500).json({
      success: false,
      error: '相似内容推荐服务暂时不可用'
    });
  }
});

/**
 * GET /api/recommendation/trending
 * 获取热门内容推荐
 */
router.get('/trending', async (req: Request, res: Response) => {
  try {
    const { category, content_type, time_range = 'day', limit = 10 } = req.query;
    
    // 模拟热门内容
    const trendingContent = [
      {
        content_id: 'trending_001',
        content_type: 'article',
        title: '2024年最受欢迎的婴儿用品推荐',
        description: '根据用户评价和销量数据，为您推荐今年最受欢迎的婴儿用品。',
        score: 0.98,
        reason: '热门内容',
        tags: ['婴儿用品', '推荐', '2024'],
        category: '母婴用品'
      },
      {
        content_id: 'trending_002',
        content_type: 'video',
        title: '育儿专家直播：新生儿护理要点',
        description: '知名育儿专家在线直播，分享新生儿护理的重要知识点。',
        score: 0.95,
        reason: '热门视频',
        tags: ['直播', '新生儿护理', '专家'],
        category: '育儿知识'
      }
    ];
    
    let filteredContent = trendingContent;
    
    if (category) {
      filteredContent = filteredContent.filter(content => content.category === category);
    }
    
    if (content_type) {
      filteredContent = filteredContent.filter(content => content.content_type === content_type);
    }
    
    const trendingScores = filteredContent.map(content => ({
      content_id: content.content_id,
      score: content.score,
      trend: Math.random() > 0.3 ? 'rising' : Math.random() > 0.5 ? 'stable' : 'declining'
    }));
    
    res.json({
      success: true,
      data: {
        recommendations: filteredContent.slice(0, Number(limit)),
        trending_score: trendingScores
      }
    });
  } catch (error: any) {
    console.error('获取热门内容推荐失败:', error);
    res.status(500).json({
      success: false,
      error: '热门内容推荐服务暂时不可用'
    });
  }
});

/**
 * GET /api/recommendation/tags/hierarchy
 * 获取标签层次结构
 */
router.get('/tags/hierarchy', async (req: Request, res: Response) => {
  try {
    const tagRelationships = [
      {
        parent: 'parenting',
        children: ['feeding', 'sleep', 'development'],
        related: ['health', 'products']
      },
      {
        parent: 'products',
        children: ['bottles', 'diapers', 'toys'],
        related: ['parenting', 'health']
      },
      {
        parent: 'health',
        children: ['vaccination', 'illness', 'nutrition'],
        related: ['parenting', 'products']
      }
    ];
    
    res.json({
      success: true,
      data: {
        categories: tagHierarchy.categories,
        tag_relationships: tagRelationships
      }
    });
  } catch (error: any) {
    console.error('获取标签层次结构失败:', error);
    res.status(500).json({
      success: false,
      error: '标签层次结构服务暂时不可用'
    });
  }
});

/**
 * POST /api/recommendation/feedback
 * 记录推荐反馈
 */
router.post('/feedback', async (req: Request, res: Response) => {
  try {
    const feedback = {
      id: uuidv4(),
      ...req.body,
      timestamp: req.body.timestamp || new Date().toISOString()
    };
    
    feedbacks.push(feedback);
    
    res.json({
      success: true,
      data: { feedback_id: feedback.id }
    });
  } catch (error: any) {
    console.error('记录推荐反馈失败:', error);
    res.status(500).json({
      success: false,
      error: '推荐反馈服务暂时不可用'
    });
  }
});

/**
 * GET /api/recommendation/metrics
 * 获取推荐性能指标
 */
router.get('/metrics', async (req: Request, res: Response) => {
  try {
    const metrics = {
      overall_metrics: {
        click_through_rate: Math.round((Math.random() * 10 + 5) * 100) / 100, // 5-15%
        conversion_rate: Math.round((Math.random() * 5 + 2) * 100) / 100, // 2-7%
        engagement_rate: Math.round((Math.random() * 20 + 30) * 100) / 100, // 30-50%
        diversity_score: Math.round((Math.random() * 0.3 + 0.6) * 100) / 100, // 0.6-0.9
        novelty_score: Math.round((Math.random() * 0.4 + 0.5) * 100) / 100 // 0.5-0.9
      },
      performance_by_category: [
        {
          category: '育儿知识',
          metrics: {
            click_through_rate: 12.5,
            conversion_rate: 4.2,
            engagement_rate: 45.8
          }
        },
        {
          category: '母婴用品',
          metrics: {
            click_through_rate: 8.3,
            conversion_rate: 6.7,
            engagement_rate: 38.2
          }
        },
        {
          category: '健康护理',
          metrics: {
            click_through_rate: 10.1,
            conversion_rate: 3.9,
            engagement_rate: 42.1
          }
        }
      ],
      user_satisfaction: {
        average_rating: Math.round((Math.random() * 1.5 + 3.5) * 10) / 10, // 3.5-5.0
        feedback_distribution: [
          { rating: 5, count: Math.floor(Math.random() * 100 + 200) },
          { rating: 4, count: Math.floor(Math.random() * 80 + 150) },
          { rating: 3, count: Math.floor(Math.random() * 50 + 80) },
          { rating: 2, count: Math.floor(Math.random() * 30 + 20) },
          { rating: 1, count: Math.floor(Math.random() * 20 + 10) }
        ]
      },
      algorithm_comparison: [
        {
          version: 'v2.1.0',
          performance: {
            accuracy: 0.87,
            precision: 0.82,
            recall: 0.79,
            f1_score: 0.80
          }
        },
        {
          version: 'v2.0.0',
          performance: {
            accuracy: 0.83,
            precision: 0.78,
            recall: 0.75,
            f1_score: 0.76
          }
        }
      ]
    };
    
    res.json({
      success: true,
      data: metrics
    });
  } catch (error: any) {
    console.error('获取推荐性能指标失败:', error);
    res.status(500).json({
      success: false,
      error: '推荐指标服务暂时不可用'
    });
  }
});

/**
 * GET /api/recommendation/segments
 * 获取用户分群
 */
router.get('/segments', async (req: Request, res: Response) => {
  try {
    res.json({
      success: true,
      data: {
        segments: userSegments
      }
    });
  } catch (error: any) {
    console.error('获取用户分群失败:', error);
    res.status(500).json({
      success: false,
      error: '用户分群服务暂时不可用'
    });
  }
});

/**
 * GET /api/recommendation/segments/user/:userId
 * 获取用户所属分群
 */
router.get('/segments/user/:userId', async (req: Request, res: Response) => {
  try {
    const { userId } = req.params;
    const userProfile = userProfiles[userId];
    
    // 根据用户画像判断所属分群
    const userSegmentIds = [];
    
    if (userProfile) {
      if (userProfile.parenting_info?.parenting_stage === 'pregnant') {
        userSegmentIds.push('pregnant_users');
      } else if (userProfile.parenting_info?.children_count >= 2) {
        userSegmentIds.push('experienced_parents');
      } else {
        userSegmentIds.push('new_parents');
      }
    } else {
      userSegmentIds.push('new_parents'); // 默认分群
    }
    
    res.json({
      success: true,
      data: {
        segments: userSegments,
        user_segments: userSegmentIds
      }
    });
  } catch (error: any) {
    console.error('获取用户分群失败:', error);
    res.status(500).json({
      success: false,
      error: '用户分群服务暂时不可用'
    });
  }
});

/**
 * GET /api/recommendation/algorithm/config
 * 获取推荐算法配置
 */
router.get('/algorithm/config', async (req: Request, res: Response) => {
  try {
    const algorithmConfig = {
      algorithms: [
        {
          id: 'collaborative_filtering',
          name: '协同过滤',
          description: '基于用户行为相似性的推荐算法',
          parameters: {
            similarity_threshold: 0.7,
            min_common_items: 5,
            neighborhood_size: 50
          },
          weight: 0.4,
          status: 'active'
        },
        {
          id: 'content_based',
          name: '基于内容',
          description: '基于内容特征相似性的推荐算法',
          parameters: {
            feature_weights: {
              category: 0.3,
              tags: 0.4,
              author: 0.2,
              content_type: 0.1
            }
          },
          weight: 0.3,
          status: 'active'
        },
        {
          id: 'deep_learning',
          name: '深度学习',
          description: '基于神经网络的推荐算法',
          parameters: {
            embedding_dim: 128,
            hidden_layers: [256, 128, 64],
            dropout_rate: 0.2
          },
          weight: 0.3,
          status: 'active'
        }
      ],
      ensemble_config: {
        combination_method: 'weighted_average',
        weights: {
          collaborative_filtering: 0.4,
          content_based: 0.3,
          deep_learning: 0.3
        }
      },
      feature_config: {
        user_features: ['demographics', 'behavior_patterns', 'interests', 'parenting_info'],
        content_features: ['category', 'tags', 'author', 'content_type', 'metadata'],
        context_features: ['time_of_day', 'device', 'platform', 'session_context']
      }
    };
    
    res.json({
      success: true,
      data: algorithmConfig
    });
  } catch (error: any) {
    console.error('获取推荐算法配置失败:', error);
    res.status(500).json({
      success: false,
      error: '算法配置服务暂时不可用'
    });
  }
});

export default router;